Responsibilities
- Figure out what's worth building - through customer research, data analysis, and sharp product intuition
- Prototype and validate before anything gets built at scale
- Use different tools (Claude Code, research agents, prototyping tools) to move from question to insight to testable idea - fast
- Work hands-on with engineering and design, not as a ticket-writer, but as a collaborator in the work
- Ship and measure, own outcomes, not just outputs
Requirements
- Product intuition with a high bar: you sense which problems matter, which solutions will actually work, and you're not satisfied until something is genuinely good
- User-first thinking: every decision comes back to whether it's making someone's life better, not whether it's clever or shippable
- Strong judgment: knowing what to trust, what to verify, and when to slow down and use your own head
- Bias to action: you'd rather test a hypothesis than debate it, you prototype, ship small, and learn
- Curiosity without boundaries: you'll dig into data, talk to users, sketch interfaces, whatever it takes to get to the right answer
- Comfort with modern tools: show us how you've used AI in your product work, for research, synthesis, prototyping, or analysis. We want to see how you think with these tools, not just that you use them
Nice to Have
- Ability to learn and adapt fast: new tools, new domains, new constraints - you figure it out
- Comfort with ambiguity: you thrive when the path isn't clear
Work Arrangement
Hybrid — Budapest, Hungary, remote in the EU
Additional Information
- first month onsite